A5058085236- Autonomous Vehicle Technology and Safety
- Vehicular Ad Hoc Networks (VANETs)
- Safety Systems Engineering in Autonomy
- IoT and Edge/Fog Computing
- Human-Automation Interaction and Safety
- Linguistic research and analysis
- Real-time simulation and control systems
- Real-Time Systems Scheduling
- Indoor and Outdoor Localization Technologies
- Traffic control and management
- Transboundary Water Resource Management
- Robotics and Automated Systems
- European and International Law Studies
- Smart Parking Systems Research
- Vehicle Dynamics and Control Systems
- Robotics and Sensor-Based Localization
- Power Line Communications and Noise
- Advanced Algorithms and Applications
- Visual Attention and Saliency Detection
- Transportation and Mobility Innovations
- Climate Change and Sustainable Development
- Context-Aware Activity Recognition Systems
- Age of Information Optimization
- Infrared Target Detection Methodologies
Virtual Vehicle (Austria)
2021-2025
Graz University of Technology
2019-2024
Automated vehicles and vehicle-to-everything (V2X) communication open the window for sharing of sensor data. This paper aims to provide a systematic view delay chain involved. We implemented collective perception (CP) into two street legal automated driving demonstrators (ADDs) insight components' delay. The implementation allowed us gather highly accurate Quality Service (QoS) measurements V2X in practical field environments set working CP system, accompanied by scalability discussions....
Automotive industry is currently shifting from automated driving assistance systems to conditionally vehicles. Traditional automotive component testing methodologies are not sufficient verify these increasingly complex systems. While previous research deals primarily with elementary components of verification for autonomous driving, commercial software companies combine them without making the results publicly available. The focus presented in this paper analyze necessary design and build a...
Vehicle-to-Anything (V2X) communication is a research topic in automated driving, with recent activities also focused on cooperative perception (CP). The field of CP complex, many sub-fields using different approaches. In this paper, will be analyzed from systems perspective to provide an overview the challenges that need addressed. Starting system level, individual components sensing, communication, and fusion for existing approaches addressing them. work, are strengths weaknesses and, most...
Cooperative awareness (CA) and collective perception (CP) deal with the exchange of data within vehicle-to-everything (V2X). The achievable needed accuracy is not yet analyzed in detail. baseline for from simulations, recommendations provided by standards, or various datasets a disconnect between localization accuracy. We extended state-of-the-art (SOTA) automated driving (AD) platform CA/CP functionality our work. then deployed it on two street-legal AD demonstrators (ADDs) did an extensive...
<div>Automated vehicles (AVs) can get additional information from infrastructure and other via vehicle-to-everything (V2X) communication. However, how an AV decide if the surrounding V2X field reliably provide qualitative, relevant, trustworthy information? Related research analyzes performance various angles. not only are there identified open gaps in analysis of loaded channels, but has also yet been effort to design a lightweight metric for rating quality field. Hence, this work...
This conference paper presents the mid-term results of two EUREKA projects "testEPS" and "Central System". TestEPS addresses certification autonomous driving systems, while Central System focuses on infrastructure solutions for a connected vehicle system. Both integrate same four technological fields: simulation virtual testing, realworld HD mapping, communication, to realize their vision achieve individual goals. The application use cases each field as utilized in respective project....